The research at the Zinkernagel’s Lab focuses on the identification of plant-environment interactions in the context of vegetable cropping systems. The focus is on physiological processes in the plant as a function of water, nutrients and CO2. On the subject of smart farming, model- and sensor-based methods for irrigation scheduling is developed. Plant responses to supply status is carried out on the basis of plant and environmental parameters through non-destructive, robust proxy sensing systems for greenhouse crops as well as open field cultivation. The data is analyzed using artificial intelligence to generate resource-efficient and powerful decision support systems through reducing complexity. The importance is raising with the impact of climate change, which is explored through simulation and experimental data collection for vegetable production systems.